Selecting precast concrete building systems

John I. Messner, Victor E. Sanvido, Masaaki Ikeda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The development of an integrated computer system to assist in the selection of precast concrete (PC) building systems is described. StructNet, a neural network program, identifies possible structural systems given a project design and various project parameters. The most probable structural systems are then designed to determine the approximate sizes and locations of the members. The Construction and Manufacturing Planning System (CMPS) determines costs, schedules, and resource demands to manufacture and construct these structural systems. From this information, the engineer, along with manufacturing and construction experts, can select the most appropriate structural system for a given project.

Original languageEnglish
Title of host publicationComputing in Civil Engineering (New York)
EditorsKhalil Khozeimeh
PublisherPubl by ASCE
Pages368-371
Number of pages4
Edition1
ISBN (Print)0784400261
Publication statusPublished - 1994 Dec 1
EventProceedings of the 1st Congress on Computing in Civil Engineering. Part 1 (of 2) - Washington, DC, USA
Duration: 1994 Jun 201994 Jun 22

Publication series

NameComputing in Civil Engineering (New York)
Number1

Other

OtherProceedings of the 1st Congress on Computing in Civil Engineering. Part 1 (of 2)
CityWashington, DC, USA
Period94/6/2094/6/22

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

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  • Cite this

    Messner, J. I., Sanvido, V. E., & Ikeda, M. (1994). Selecting precast concrete building systems. In K. Khozeimeh (Ed.), Computing in Civil Engineering (New York) (1 ed., pp. 368-371). (Computing in Civil Engineering (New York); No. 1). Publ by ASCE.